Discrete Stochastic Processes and Optimal Filtering, 1st Edition, 9781905209743
Hardcover
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter pro…

Discrete Stochastic Processes and Optimal Filtering, 1st Edition

$458.64

  • Hardcover

    287 pages

  • Release Date

    8 May 2007

Check Delivery Options

Summary

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random and Gaussian vectors, outlining the results necessary for the creation o…

Book Details

ISBN-13:9781905209743
ISBN-10:1905209746
Author:Roger Ceschi, Jean-Claude Bertein
Publisher:ISTE Ltd and John Wiley & Sons Inc
Imprint:ISTE Ltd and John Wiley & Sons Inc
Format:Hardcover
Number of Pages:287
Edition:1st
Release Date:8 May 2007
Weight:585g
Dimensions:241mm x 163mm x 22mm
Series:Digital Signal and Image Processing
About The Author

Roger Ceschi

Jean-Claude Bertein has a Master’s and PhD degree from the University of Paris VI. He was formerly a research engineer at Alcatel and today is Professor in the Department of Mathematics and Physics at the Graduate School of Electrical and Electronic Engineering (ESIEE) Paris.

Roger Ceschi is an ENSEA engineer and holds a Master’s and PhD degree from the University of Paris XI. He was formerly Director of the ENSEA and today he is Director General of the ESIEE Amiens. He is also the author of a theorem on analytic signals and is Visiting Professor at the BIPT and BIT Universities in China.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.